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Authors: Abdelazim M. Negm ; T. M. Owais ; M. M. Elfiky and M. H. Nassar

Affiliation: Faculty of Eng., Zagazig University, Egypt

ISBN: 978-989-8111-07-4

Keyword(s): Sediment transport, Suspension sediment, Artificial neural networks, numerical modeling, River hydraulics, Nile River, Hydrodynamic modeling.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: Artificial neural network (ANN) prediction models can be considered as an efficient tool in predictions once they are trained from examples or patterns. These types of ANN models need large amount of data which should be at hand before thinking to develop such models. In this paper, the capability of ANN model to predict suspended sediment in 2-D flow field is investigated. The data used for training the network are generated from a pre-verified 2-D hydrodynamic and a 2-D suspended sediment models which were recently developed by the authors. About two-thirds of the data are used for training the network while the rest of the data are used for validating and testing the developed ANN model. Field data measured by hydraulic research Institute are used to compare the results of the ANN model. The conjugate gradient learning algorithm is adopted. The results of the developed ANN model proved that the technique is reliable in such field compared to both the results of the previously dev eloped models and the field data provided that the trained network is used to generate prediction within the range of training data. (More)

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Paper citation in several formats:
M. Negm A.; M. Owais T.; M. Elfiky M.; H. Nassar M. and (2007). MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN.In Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-07-4, pages 209-214. DOI: 10.5220/0001346202090214

@conference{icsoft07,
author={Abdelazim {M. Negm} and T. {M. Owais} and M. {M. Elfiky} and M. {H. Nassar}},
title={MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2007},
pages={209-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001346202090214},
isbn={978-989-8111-07-4},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - MODELLING OF SUSPENDED SEDIMENT - In Nile River using ANN
SN - 978-989-8111-07-4
AU - M. Negm, A.
AU - M. Owais, T.
AU - M. Elfiky, M.
AU - H. Nassar, M.
PY - 2007
SP - 209
EP - 214
DO - 10.5220/0001346202090214

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